LEVEL 1 - NOT READY
Score: 18-24 points
AI adoption will likely stall. Major foundational work is needed around clarity, data structure, and infrastructure. Concentrate on defining purpose, cleaning and unifying data, and modernising core systems.
AI Solutions & Services
Build
Secure & Comply
Design & Discovery
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BIG 4 · SOLUTIONS-LED
Industry 4.0 & AgTech
AdTech & MarTech
Smart Cities & PropTech
SportsTech & Entertainment
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AI Readiness Checklist
Review six practical areas: alignment, data, infrastructure, workforce capability, governance, and roadmapping.
Score: 18-24 points
AI adoption will likely stall. Major foundational work is needed around clarity, data structure, and infrastructure. Concentrate on defining purpose, cleaning and unifying data, and modernising core systems.
Score: 25-31 points
Early potential is visible, but major gaps will block meaningful progress. You need to establish governance, improve data hygiene, and invest in workforce awareness.
Score: 32-38 points
You have a healthy baseline that supports pilots and small production use cases. Focus on strengthening integration, defining a scaling path, and formalising monitoring.
Score: 39-46 points
Your environment, culture, and systems can support broad AI adoption across multiple teams. You are prepared to expand automation, operationalise best practices, and refine quality controls.
Score: 47-54 points
You can run AI systems in production across the business. Next steps: build advanced or custom AI systems, add predictive models where you have clean historical data, and set up shared evaluation and monitoring.